| Issue Date | Title | Author(s) |
| 1 | 2020 | Classification of Medical Thermograms Belonging Neonates by Using Segmentation, Feature Engineering and Machine Learning Algorithms | Örnek, Ahmet Haydar; Ervural, Saim; Ceylan, Murat ; Konak, Murat; Soylu, Hanifi; Savaşçı, Duygu |
| 2 | 2020 | Classification of Medical Thermograms using Transfer Learning | Örnek, Ahmet Haydar; Ceylan, Murat |
| 3 | 2022 | Classification of neonatal diseases with limited thermal Image data | Ervural, Saim; Ceylan, Murat |
| 4 | 2023 | Cloud environment-based super resolution application for thermal images using the new approach TSRGAN plus model | Senalp, Fatih Mehmet; Orhan, Batuhan; Ceylan, Murat |
| 5 | 2023 | CodCAM: A new ensemble visual explanation for classification of medical thermal images | Örnek, Ahmet Haydar; Ceylan, Murat |
| 6 | 2021 | Comparison of linear discriminant analysis, support vector machines and naive bayes methods in the classification of neonatal hyperspectral signatures | Cihan, Mücahit; Ceylan, Murat |
| 7 | 2019 | Comparison of Traditional Transformations for Data Augmentation in Deep Learning of Medical Thermography | Örnek, Ahmet Haydar; Ceylan, Murat |
| 8 | 2021 | Convolutional Neural Networks-Based Approach to Detect Neonatal Respiratory System Anomalies with Limited Thermal Image | Ervural, Saim; Ceylan, Murat |
| 9 | 2021 | Deep Learning Based Super Resolution and Classification Applications for Neonatal Thermal Images | Şenalp, Fatih Mehmet; Ceylan, Murat |
| 10 | 2022 | Deep learning based super resolution application for a new data set consisting of thermal facial images | Şenalp, Fatih Mehmet; Ceylan, Murat |
| 11 | 2021 | Deep Learning-Based Approaches to Improve Classification Parameters for Diagnosing COVID-19 from CT Images | Yaşar, Hüseyin; Ceylan, Murat |
| 12 | 2021 | Deep Transfer Learning and Majority Voting Approaches for Osteoporosis Classification | Ashames, M.M.; Ceylan, Murat ; Jennane, R. |
| 13 | 2020 | Düşük Çözünürlüklü Termal Yüz Görüntü Çözünürlüğünün Derin Öğrenme İle Artırılması | Şenalp, Fatih Mehmet; Ceylan, Murat |
| 14 | 2022 | Effects of the deep learning-based super-resolution method on thermal image classification applications | Şenalp, Fatih Mehmet; Ceylan, Murat |
| 15 | 2021 | Explainable Artificial Intelligence (XAI): Classification of Medical Thermal Images of Neonates Using Class Activation Maps | Örnek, Ahmet H.; Ceylan, Murat |
| 16 | 2020 | Explainable Features in Classification of Neonatal Thermograms | Örnek, Ahmet Haydar; Ceylan, Murat |
| 17 | 2022 | Fast Evaluation of Unhealthy and Healthy Neonates Using Hyperspectral Features on 700-850 Nm Wavelengths, ROI Extraction, and 3D-CNN | Cihan, Mücahit; Ceylan, Murat ; Soylu, H.; Konak, M. |
| 18 | 2022 | HayCAM: A Novel Visual Explanation for Deep Convolutional Neural Networks | Örnek, Ahmet H.; Ceylan, Murat |
| 19 | 2019 | Health status detection of neonates using infrared thermography and deep convolutional neural networks | Örnek, Ahmet Haydar; Ceylan, Murat ; Ervural, Saim |
| 20 | 2020 | Heart Disease Detection from Neonatal Infrared Thermograms Using Multiresolution Features and Data Augmentation | Savaşcı, Duygu; Ceylan, Murat ; Örnek, Ahmet Haydar; Konak, Murat; Soylu, Hanifi |
